Quant for 5.0

README.md

@@ -8,63 +8,41 @@ datasets:
 language:
 - zh
 - en
-quantized_by: bartowski
-pipeline_tag: text-generation
 ---
+# **BLOSSOM-v5-mistral-7b**
 
-## Exllama v2 Quantizations of blossom-v5-mistral-7b
+[💻Github](https://github.com/Azure99/BlossomLM) • [🚀Blossom Chat Demo](https://blossom-chat.com/)
 
-Using <a href="https://github.com/turboderp/exllamav2/releases/tag/v0.0.16">turboderp's ExLlamaV2 v0.0.16</a> for quantization.
+### What's new?
 
-<b>The "main" branch only contains the measurement.json, download one of the other branches for the model (see below)</b>
+The Blossom V5 series models is fully trained using high-quality data distilled from gpt-4-0125-preview, resulting in significant improvements.
 
-Each branch contains an individual bits per weight, with the main one containing only the meaurement.json for further conversions.
+### Introduction
 
-Original model: https://huggingface.co/Azure99/blossom-v5-mistral-7b
+Blossom is a conversational large language model, fine-tuned on the Blossom Orca/Wizard/Chat/Math mixed dataset based on the Mistral-7B pre-trained model. Blossom possesses robust general capabilities and context comprehension. Additionally, the high-quality Chinese and English datasets used for training have been made open source.
 
-| Branch | Bits | lm_head bits | VRAM (4k) | VRAM (16k) | VRAM (32k) | Description |
-| ----- | ---- | ------- | ------ | ------ | ------ | ------------ |
-| [8_0](https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2/tree/8_0) | 8.0 | 8.0 | 8.4 GB | 9.8 GB | 11.8 GB | Maximum quality that ExLlamaV2 can produce, near unquantized performance. |
-| [6_5](https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2/tree/6_5) | 6.5 | 8.0 | 7.2 GB | 8.6 GB | 10.6 GB | Very similar to 8.0, good tradeoff of size vs performance, **recommended**. |
-| [5_0](https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2/tree/5_0) | 5.0 | 6.0 | 6.0 GB | 7.4 GB |  9.4 GB | Slightly lower quality vs 6.5, but usable on 8GB cards. |
-| [4_25](https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2/tree/4_25) | 4.25 | 6.0 | 5.3 GB | 6.7 GB | 8.7 GB | GPTQ equivalent bits per weight, slightly higher quality. |
-| [3_5](https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2/tree/3_5) | 3.5 | 6.0 | 4.7 GB | 6.1 GB | 8.1 GB | Lower quality, only use if you have to. |
+Training was conducted in two stages. The first stage used 40K Wizard, 40K Orca, 10K Math single-turn instruction datasets, training for 1 epoch; the second stage used 10K Blossom chat multi-turn dialogue dataset, and 10% randomly sampled data from the first stage, training for 3 epochs.
 
-## Download instructions
+### Inference
 
-With git:
+Inference is performed in the form of dialogue continuation.
 
-```shell
-git clone --single-branch --branch 6_5 https://huggingface.co/bartowski/blossom-v5-mistral-7b-exl2 blossom-v5-mistral-7b-exl2-6_5
-```
-
-With huggingface hub (credit to TheBloke for instructions):
+Single-turn dialogue
 
-```shell
-pip3 install huggingface-hub
 ```
-
-To download the `main` (only useful if you only care about measurement.json) branch to a folder called `blossom-v5-mistral-7b-exl2`:
-
-```shell
-mkdir blossom-v5-mistral-7b-exl2
-huggingface-cli download bartowski/blossom-v5-mistral-7b-exl2 --local-dir blossom-v5-mistral-7b-exl2 --local-dir-use-symlinks False
+A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
+|Human|: hello
+|Bot|: 
 ```
 
-To download from a different branch, add the `--revision` parameter:
+Multi-turn dialogue
 
-Linux:
-
-```shell
-mkdir blossom-v5-mistral-7b-exl2-6_5
-huggingface-cli download bartowski/blossom-v5-mistral-7b-exl2 --revision 6_5 --local-dir blossom-v5-mistral-7b-exl2-6_5 --local-dir-use-symlinks False
 ```
-
-Windows (which apparently doesn't like _ in folders sometimes?):
-
-```shell
-mkdir blossom-v5-mistral-7b-exl2-6.5
-huggingface-cli download bartowski/blossom-v5-mistral-7b-exl2 --revision 6_5 --local-dir blossom-v5-mistral-7b-exl2-6.5 --local-dir-use-symlinks False
+A chat between a human and an artificial intelligence bot. The bot gives helpful, detailed, and polite answers to the human's questions.
+|Human|: hello
+|Bot|: Hello! How can I assist you today?</s>
+|Human|: Generate a random number using python
+|Bot|: 
 ```
 
-Want to support my work? Visit my ko-fi page here: https://ko-fi.com/bartowski
+Note: At the end of the Bot's output in the historical conversation, append a `</s>`.

config.json

@@ -0,0 +1,37 @@
+{
+    "_name_or_path": "/mnt/output/mistral-7b_5-stage1",
+    "architectures": [
+        "MistralForCausalLM"
+    ],
+    "attention_dropout": 0.0,
+    "bos_token_id": 1,
+    "eos_token_id": 2,
+    "hidden_act": "silu",
+    "hidden_size": 4096,
+    "initializer_range": 0.02,
+    "intermediate_size": 14336,
+    "max_position_embeddings": 32768,
+    "model_type": "mistral",
+    "num_attention_heads": 32,
+    "num_hidden_layers": 32,
+    "num_key_value_heads": 8,
+    "rms_norm_eps": 1e-05,
+    "rope_theta": 10000.0,
+    "sliding_window": 4096,
+    "tie_word_embeddings": false,
+    "torch_dtype": "bfloat16",
+    "transformers_version": "4.38.2",
+    "use_cache": true,
+    "vocab_size": 32000,
+    "quantization_config": {
+        "quant_method": "exl2",
+        "version": "0.0.16",
+        "bits": 5.0,
+        "head_bits": 6,
+        "calibration": {
+            "rows": 100,
+            "length": 2048,
+            "dataset": "(default)"
+        }
+    }
+}

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.38.2"
+}

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